SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

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Showing 441–450 of 1135 papers

TitleStatusHype
RMM: A Recursive Mental Model for Dialogue NavigationCode1
AllenAct: A Framework for Embodied AI ResearchCode1
RMM: A Recursive Mental Model for Dialog NavigationCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation LearningCode1
AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning—0
How Many Instructions Can LLMs Follow at Once?—0
Multilingual Multimodal Software Developer for Code Generation—0
TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified